feat: séance 3
This commit is contained in:
Damien Guillotin
parent
bba783bcdc
commit
6fc48a2f22
278
TP_maillage.asv
278
TP_maillage.asv
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@ -1,278 +0,0 @@
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clear;
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close all;
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load("mask.mat");
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nb_images = 36; % Nombre d'images
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% chargement des images
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for i = 1:nb_images
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if i <= 10
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nom = sprintf('images/viff.00%d.ppm', i - 1);
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else
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nom = sprintf('images/viff.0%d.ppm', i - 1);
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end
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% L'ensemble des images de taille : nb_lignes x nb_colonnes x nb_canaux
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% x nb_images
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im(:, :, :, i) = imread(nom);
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end
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% chargement des points 2D suivis
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% pts de taille nb_points x (2 x nb_images)
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% sur chaque ligne de pts
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% tous les appariements possibles pour un point 3D donne
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% on affiche les coordonnees (xi,yi) de Pi dans les colonnes 2i-1 et 2i
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% tout le reste vaut -1
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pts = load('viff.xy');
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% Chargement des matrices de projection
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% Chaque P{i} contient la matrice de projection associee a l'image i
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% RAPPEL : P{i} est de taille 3 x 4
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load dino_Ps;
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% chargement des masques (pour l'elimination des fonds bleus)
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% de taille nb_lignes x nb_colonnes x nb_images
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% A COMPLETER quand vous aurez termine la premiere partie permettant de
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% binariser les images
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% ...
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% Affichage des images
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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% A COMPLETER %
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% Calculs des superpixels %
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% Conseil : afficher les germes + les régions %
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% à chaque étape / à chaque itération %
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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K = 100;
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m = 0.1;
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n = 3;
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seuil_E = 10;
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q_max = 20;
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figure;
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% subplot(2, 2, 1);
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imshow(im(:, :, :, 1)); title('Image 1');
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figure;
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imshow(im(:, :, :, 1)); title('Image 1');
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hold on;
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[germes, image_labelise, E] = super_pixel(im(:, :, :, 1), K, m, n, seuil_E, q_max);
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% subplot(2, 2, 2); imshow(im(:, :, :, 9)); title('Image 9');
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% hold on;
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% germes = super_pixel(im(:, :, :, 9), K, m, n, q_max);
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%
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% subplot(2, 2, 3); imshow(im(:, :, :, 17)); title('Image 17');
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% hold on;
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% germes = super_pixel(im(:, :, :, 17), K, m, n, q_max);
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%
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% subplot(2, 2, 4); imshow(im(:, :, :, 25)); title('Image 25');
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% hold on;
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% germes = super_pixel(im(:, :, :, 25), K, m, n, q_max);
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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% A COMPLETER %
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% Binarisation de l'image à partir des superpixels %
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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figure;
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R = germes(:, 3);
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B = germes(:, 5);
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scatter(R, B);
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hold on
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a = (0.7 - 0.1) / (0.6 - 0.2);
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b = 0.1 - a * 0.2;
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plot([0 1], [b a + b]);
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W = a * R + b - B > 0;
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germes = [germes W];
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%%
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bw_img = reshape(germes(image_labelise, 6), size(im, 1), []);
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figure;
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bw_img = im_mask(:,:,1) == 0;
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bw_img(8:end-1,1:end) = 0;
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bw_img(1:end-5,1:end) = 0;
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bw_img(1:end,5:end) = 0;
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bw_img(1:end,1:end-30) = 0;
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imshow(bw_img);
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%%
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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% A FAIRE SI VOUS UTILISEZ LES MASQUES BINAIRES FOURNIS %
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% Chargement des masques binaires %
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% de taille nb_lignes x nb_colonnes x nb_images %
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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pixel_b = find(bw_img == 1);
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[r, c] = ind2sub(size(bw_img), pixel_b(1));
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contour = bwtraceboundary(bw_img, [r c], 'W', 8);
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hold on
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% plot(contour(:,2), contour(:,1),'g','LineWidth',5);
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% r = delaunay(contour);
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% barycentres = (contour(r(:,1),:) + contour(r(:,2),:) + contour(r(:,3),:)) / 3;
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% scatter(barycentres(:,2), barycentres(:,1));
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% % triplot(r, contour(:,2), contour(:,1));
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[vx, vy] = voronoi(contour(:,1), contour(:,2));
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% plot(vx, vy);
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ok = vx(1,:) > 0 & vx(1,:) < size(bw_img, 1) & ...
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vx(2,:) > 0 & vx(2,:) < size(bw_img, 1) & ...
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vy(1,:) > 0 & vy(1,:) < size(bw_img, 2) & ...
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vy(2,:) > 0 & vy(2,:) < size(bw_img, 2);
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vx = floor(vx(:,ok));
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vy = floor(vy(:,ok));
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% plot(vx, vy, 'b');
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ind1 = sub2ind(size(bw_img), vx(1,:), vy(1,:));
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ok1 = bw_img(ind1) > 0;
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ind2 = sub2ind(size(bw_img), vx(2,:), vy(2,:));
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ok2 = bw_img(ind2) > 0;
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ok = ok1 & ok2;
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vx = vx(:,ok);
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vy = vy(:,ok);
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plot(vy, vx, 'r');
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%%
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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% A DECOMMENTER ET COMPLETER %
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% quand vous aurez les images segmentées %
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% Affichage des masques associes %
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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% Affichage des masques associes
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% figure;
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% subplot(2,2,1); ... ; title('Masque image 1');
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% subplot(2,2,2); ... ; title('Masque image 9');
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% subplot(2,2,3); ... ; title('Masque image 17');
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% subplot(2,2,4); ... ; title('Masque image 25');
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% Reconstruction des points 3D
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X = []; % Contient les coordonnees des points en 3D
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color = []; % Contient la couleur associee
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% Pour chaque coupple de points apparies
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for i = 1:size(pts, 1)
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% Recuperation des ensembles de points apparies
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l = find(pts(i, 1:2:end) ~= -1);
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% Verification qu'il existe bien des points apparies dans cette image
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if size(l, 2) > 1 & max(l) - min(l) > 1 & max(l) - min(l) < 36
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A = [];
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R = 0;
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G = 0;
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B = 0;
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% Pour chaque point recupere, calcul des coordonnees en 3D
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for j = l
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A = [A; P{j}(1, :) - pts(i, (j - 1) * 2 + 1) * P{j}(3, :);
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P{j}(2, :) - pts(i, (j - 1) * 2 + 2) * P{j}(3, :)];
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R = R + double(im(int16(pts(i, (j - 1) * 2 + 1)), int16(pts(i, (j - 1) * 2 + 2)), 1, j));
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G = G + double(im(int16(pts(i, (j - 1) * 2 + 1)), int16(pts(i, (j - 1) * 2 + 2)), 2, j));
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B = B + double(im(int16(pts(i, (j - 1) * 2 + 1)), int16(pts(i, (j - 1) * 2 + 2)), 3, j));
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end;
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[U, S, V] = svd(A);
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X = [X V(:, end) / V(end, end)];
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color = [color [R / size(l, 2); G / size(l, 2); B / size(l, 2)]];
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end;
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end;
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fprintf('Calcul des points 3D termine : %d points trouves. \n', size(X, 2));
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%affichage du nuage de points 3D
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% figure;
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% hold on;
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%
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% for i = 1:size(X, 2)
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% plot3(X(1, i), X(2, i), X(3, i), '.', 'col', color(:, i) / 255);
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% end;
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%
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% axis equal;
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% A COMPLETER
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% Tetraedrisation de Delaunay
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% T = ...
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% A DECOMMENTER POUR AFFICHER LE MAILLAGE
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% fprintf('Tetraedrisation terminee : %d tetraedres trouves. \n',size(T,1));
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% Affichage de la tetraedrisation de Delaunay
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% figure;
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% tetramesh(T);
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% A DECOMMENTER ET A COMPLETER
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% Calcul des barycentres de chacun des tetraedres
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% poids = ...
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% nb_barycentres = ...
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% for i = 1:size(T,1)
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% Calcul des barycentres differents en fonction des poids differents
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% En commencant par le barycentre avec poids uniformes
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% C_g(:,i,1)=[ ...
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% A DECOMMENTER POUR VERIFICATION
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% A RE-COMMENTER UNE FOIS LA VERIFICATION FAITE
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% Visualisation pour vérifier le bon calcul des barycentres
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% for i = 1:nb_images
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% for k = 1:nb_barycentres
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% o = P{i}*C_g(:,:,k);
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% o = o./repmat(o(3,:),3,1);
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% imshow(im_mask(:,:,i));
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% hold on;
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% plot(o(2,:),o(1,:),'rx');
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% pause;
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% close;
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% end
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%end
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% A DECOMMENTER ET A COMPLETER
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% Copie de la triangulation pour pouvoir supprimer des tetraedres
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% tri=T.Triangulation;
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% Retrait des tetraedres dont au moins un des barycentres
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% ne se trouvent pas dans au moins un des masques des images de travail
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% Pour chaque barycentre
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% for k=1:nb_barycentres
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% ...
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% A DECOMMENTER POUR AFFICHER LE MAILLAGE RESULTAT
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% Affichage des tetraedres restants
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% fprintf('Retrait des tetraedres exterieurs a la forme 3D termine : %d tetraedres restants. \n',size(Tbis,1));
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% figure;
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% trisurf(tri,X(1,:),X(2,:),X(3,:));
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% Sauvegarde des donnees
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% save donnees;
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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% CONSEIL : A METTRE DANS UN AUTRE SCRIPT %
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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% load donnees;
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% Calcul des faces du maillage à garder
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% FACES = ...;
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% ...
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% fprintf('Calcul du maillage final termine : %d faces. \n',size(FACES,1));
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% Affichage du maillage final
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% figure;
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% hold on
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% for i = 1:size(FACES,1)
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% plot3([X(1,FACES(i,1)) X(1,FACES(i,2))],[X(2,FACES(i,1)) X(2,FACES(i,2))],[X(3,FACES(i,1)) X(3,FACES(i,2))],'r');
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% plot3([X(1,FACES(i,1)) X(1,FACES(i,3))],[X(2,FACES(i,1)) X(2,FACES(i,3))],[X(3,FACES(i,1)) X(3,FACES(i,3))],'r');
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% plot3([X(1,FACES(i,3)) X(1,FACES(i,2))],[X(2,FACES(i,3)) X(2,FACES(i,2))],[X(3,FACES(i,3)) X(3,FACES(i,2))],'r');
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% end;
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@ -42,19 +42,20 @@ load dino_Ps;
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% Conseil : afficher les germes + les régions %
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% à chaque étape / à chaque itération %
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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K = 100;
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m = 0.1;
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n = 3;
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seuil_E = 10;
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q_max = 20;
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q_max = 5;
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ind_img = 25;
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figure;
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% subplot(2, 2, 1);
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imshow(im(:, :, :, ind_img)); title('Image 1');
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imshow(im(:, :, :, ind_img)); title("Image " + num2str(ind_img));
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figure;
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imshow(im(:, :, :, ind_img)); title('Image 1');
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imshow(im(:, :, :, ind_img)); title("Image " + num2str(ind_img));
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hold on;
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[germes, image_labelise, E] = super_pixel(im(:, :, :, ind_img), K, m, n, seuil_E, q_max);
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@ -95,7 +96,7 @@ bw_img = reshape(germes(image_labelise, 6), size(im, 1), []);
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figure;
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figure(3);
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% bw_img = im_mask(:,:,ind_img) == 0;
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%
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% bw_img(1:8,:) = 0;
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@ -118,7 +119,7 @@ pixel_b = find(bw_img == 1);
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[r, c] = ind2sub(size(bw_img), pixel_b(1));
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contour = bwtraceboundary(bw_img, [r c], 'W', 8);
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hold on
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% plot(contour(:,2), contour(:,1),'g','LineWidth',5);
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plot(contour(:,2), contour(:,1),'g','LineWidth',5);
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% r = delaunay(contour);
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@ -149,7 +150,63 @@ ok = ok1 & ok2;
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vx = vx(:,ok);
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vy = vy(:,ok);
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plot(vy, vx, 'r');
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% plot(vy, vx, 'r');
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vx_ = vx';
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vx_ = [vx_(:,1) ; vx_(:,2)];
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vy_ = vy';
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vy_ = [vy_(:,1) ; vy_(:,2)];
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V_ = [vx_ vy_];
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% V_u = unique(V_, 'rows');
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%
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% adja = sparse(zeros(length(V_u)));
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% for k = 1:length(V_) / 2
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% i = find(V_(k, 1) == V_u(:, 1) & V_(k, 2) == V_u(:, 2));
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% j = find(V_(2 * k, 1) == V_u(:, 1) & V_(2* k, 2) == V_u(:, 2));
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% if i ~= j
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% adja(i, j) = 1;
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% adja(j, i) = 1;
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% end
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% plot([V_u(i,1) V_u(j,1)],[V_u(i,2) V_u(j,2)])
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% end
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% adja = zeros(size(bw_img, 1), size(bw_img, 2));
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% adja(vx_, vy_) = 1;
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% adja = sparse(adja);
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% adja = sparse(vx_, vy_, 1, size(bw_img, 1), size(bw_img, 2)) > 0;
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% gplot(adja, V_u);
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% Calcule des rayons
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contour_ = contour';
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R = complex(V_(:,1), V_(:,2)) - complex(contour_(1,:), contour_(2,:));
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R = abs(R);
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R = min(R, [], 2);
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R = R';
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% viscircles([V_(:,2) V_(:,1)], R);
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% Filtrage naif
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% truc = find(R < 20);
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% truc = mod(truc - 1, length(vx)) + 1;
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%
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% vx(:,truc) = [];
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% vy(:,truc) = [];
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%%
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R_scaled = 1.34 * R;
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dist = abs(complex(V_(:,1), V_(:,2)) - transpose(complex(V_(:,1), V_(:,2))));
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plot(vy, vx, 'b');
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%%
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